{"id":"doi:10.1021/acsphyschemau.4c00004","kind":"review","title":"The Potential of Neural Network Potentials","authors":["Timothy T. Duignan"],"author_count":1,"year":2024,"published":"2024-03-21","venue":"ACS Physical Chemistry Au","cited_by":64,"doi":"10.1021/acsphyschemau.4c00004","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1021/acsphyschemau.4c00004","archive_url":"https://space-kitty.com/papers/doi:10.1021/acsphyschemau.4c00004","updated":null,"pmid":"38800721","pmcid":null,"openalex_id":"W4393037991","pdf_url":null,"abstract":null,"abstract_license":null,"license":"cc-by-nc-nd","is_open_access":true,"retracted":false,"peer_reviewed":null,"categories":["Machine Learning in Materials Science"],"details":null,"provenance":"openalex","attribution":"Metadata and citation counts: OpenAlex (CC0).","topics":[{"slug":"scaling-laws","name":"Scaling Laws & Compute-Optimal Training","domain_slug":"ai"}],"cited_in_dossiers":[]}